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Principal Data Engineer Jobs (NOW HIRING)

NAVA Software Solutions

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Principal Data Engineer Location: Houston, TX - 4 days/week onsite Duration: Full time / Direct Hire The Principal Data Engineer within the Data Science and Analytics team, plays a crucial role in ...

Aderant

Principal Data Engineer

Atlanta, GA · On-site

Principal Data Engineer About the Role We are seeking a Principal Data Engineer to lead the design, development, and optimization of our cloud-native data platform. You will be responsible for ...

Vistra Corp

Principal Data Engineer

Irving, TX · Hybrid

As a Principal Data Engineer, you will be responsible for architecting, designing, and implementing scalable and robust data solutions that enable efficient data processing, storage, and retrieval.

1872 Consulting

Principal Data Engineer

Chicago, IL · Hybrid

Principal Data Engineer Dallas or Chicago - hybrid WFH Summary This role will focus on owning both the architecture and engineering for a new enterprise-grade analytics platform. The goal of the ...

FastTek

Principal Data Engineer

Jackson, MI

Principal Data Engineer #1052690 If you're looking for a career that will provide a challenging work environment and many opportunities to learn, our company is the place for you. Join our team and ...

Vistra Energy

Principal Data Engineer

Irving, TX · Hybrid

As a Principal Data Engineer, you will be responsible for architecting, designing, and implementing scalable and robust data solutions that enable efficient data processing, storage, and retrieval.

Salt River Project

Principal Data Engineer

Tempe, AZ · On-site

In addition, the Principal Data Engineer has the added responsibility of defining and guiding the domain-level data architecture, designing and managing the data environments that support analytics ...

Vst

Principal Data Engineer

Irving, TX · Hybrid

As a Principal Data Engineer, you will be responsible for architecting, designing, and implementing scalable and robust data solutions that enable efficient data processing, storage, and retrieval.

Citizens

Principal Data Engineer

Johnston, RI · Hybrid

$150K - $180K/yr

Description Principal Data Engineer Enterprise Data Platforms and Engineering Team The Enterprise Data Platforms and Engineering team is seeking a Principal Data Engineer with deep architectural ...

Vistra Corp.

Principal Data Engineer

Irving, TX · On-site

As a Principal Data Engineer, you will be responsible for architecting, designing, and implementing scalable and robust data solutions that enable efficient data processing, storage, and retrieval.

Citizens

Principal Data Engineer

Phoenix, AZ · Hybrid

$150K - $180K/yr

Description Principal Data Engineer Enterprise Data Platforms and Engineering Team The Enterprise Data Platforms and Engineering team is seeking a Principal Data Engineer with deep architectural ...

Citizens

Principal Data Engineer

Johnston, RI · Hybrid

$150K - $180K/yr

Description Principal Data Engineer Enterprise Data Platforms and Engineering Team The Enterprise Data Platforms and Engineering team is seeking a Principal Data Engineer with deep architectural ...

TXU Energy

Principal Data Engineer

Irving, TX · Hybrid

As a Principal Data Engineer, you will be responsible for architecting, designing, and implementing scalable and robust data solutions that enable efficient data processing, storage, and retrieval.

Luminant

Principal Data Engineer

Irving, TX · Hybrid

As a Principal Data Engineer, you will be responsible for architecting, designing, and implementing scalable and robust data solutions that enable efficient data processing, storage, and retrieval.

Salt River Project

Principal Data Engineer

Tempe, AZ · On-site

In addition, the Principal Data Engineer has the added responsibility of defining and guiding the domain-level data architecture, designing and managing the data environments that support analytics ...

Hearst

Principal Data Engineer

Manhattan, NY

The Principal Data Engineer will lead the end-to-end design and implementation of scalable pipelines,platforms and systems that support semantic search across massive volumes of structured/semi ...

American Tower

Principal, Data Engineer

Woburn, MA · On-site

$170K - $213K/yr

The Team We are seeking a Principal Data Engineer to join American Tower's Information Technology organization's Data & Analytics team. The team architects, builds, and optimizes cloud-native data ...

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All JobsPrincipal Data Engineer Jobs

Principal Data Engineer information

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$74K

$147.2K

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How much do principal data engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for principal data engineer in the United States is $147,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What engineers make 500,000?

Principal Data Engineers and senior engineering roles in fields like software, cloud, and machine learning can reach salaries of $500,000 or more, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

What are the typical daily responsibilities of a Principal Data Engineer?

As a Principal Data Engineer, your day-to-day responsibilities generally include designing and optimizing large-scale data pipelines, developing architectural strategies, and overseeing the implementation of robust data solutions. You'll collaborate closely with data scientists, analysts, and software engineers to ensure the organization's data infrastructure is efficient, scalable, and secure. You may also mentor junior team members, review code, and set data engineering best practices. This role frequently requires balancing hands-on technical work with strategic planning and stakeholder communication to align data initiatives with business goals.

What is a Principal Data Engineer job?

A Principal Data Engineer is a senior-level technical role responsible for designing, building, and maintaining large-scale data infrastructure. They lead data engineering teams, establish best practices, and ensure efficient data pipelines to support analytics and machine learning. This role involves working with cloud platforms, big data technologies, and distributed systems to optimize data processing. Principal Data Engineers collaborate with data scientists, analysts, and business stakeholders to drive data-driven decision-making. Their work is critical in enabling organizations to leverage data effectively for insights and innovation.

What engineers make $300,000 a year?

Principal Data Engineers and senior engineering roles in fields like software, machine learning, and cloud infrastructure can earn $300,000 or more annually, especially with extensive experience, advanced skills, and certifications. Compensation often includes base salary, bonuses, and stock options, particularly in high-demand industries or large tech companies.

What does a principal data engineer do?

A principal data engineer designs, develops, and maintains large-scale data systems and pipelines to support data analysis and business decision-making. They often lead data architecture initiatives, collaborate with data scientists and engineers, and ensure data quality, security, and compliance using tools like SQL, Spark, and cloud platforms. This role typically requires extensive experience in data engineering, strong problem-solving skills, and leadership abilities.

How much do principal data engineers make?

Principal data engineers typically earn between $120,000 and $180,000 annually, with salaries varying based on experience, location, and industry. They often have advanced skills in data architecture, cloud platforms, and programming languages like Python or Scala, and may receive bonuses or stock options depending on the company.

What are the key skills and qualifications needed to thrive in the Principal Data Engineer position, and why are they important?

To thrive as a Principal Data Engineer, you need a deep understanding of data architecture, data modeling, ETL development, and distributed computing, often supported by a degree in computer science or a related field. Proficiency with technologies such as Hadoop, Spark, Python, SQL, and cloud platforms (AWS, Azure, or Google Cloud), as well as certifications in relevant tools or data engineering, is highly valuable. Strong leadership, problem-solving skills, and effective cross-functional communication are essential soft skills for this role. These combined abilities enable Principal Data Engineers to design scalable data solutions, drive engineering best practices, and lead complex projects to successful completion.

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What cities are hiring for Principal Data Engineer jobs? Cities with the most Principal Data Engineer job openings:
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Principal Data Engineer jobs near you
Infographic showing various Principal Data Engineer job openings in the United States as of June 2026, with employment types broken down into 63% Full Time, and 37% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $147,220 per year, or $70.8 per hour.
Principal Data Engineer

Principal Data Engineer

NAVA Software Solutions

Houston, TX • On-site

$106K - $127K/yr

Full-time

Posted 29 days ago

Job description

NAVA Software solutions is looking for a Principal Data Engineer
Details:
Principal Data Engineer
Location: Houston, TX - 4 days/week onsite
Duration: Full time / Direct Hire
The Principal Data Engineer within the Data Science and Analytics team, plays a crucial role in architecting, implementing, and managing robust, scalable data platforms. This position demands a blend of cloud data engineering, systems engineering, data integration, and machine learning systems knowledge to enhance GST's data capabilities, supporting advanced analytics, machine learning projects, and real-time data processing needs. You will guide other team members and collaborate closely with cross-functional teams to design and implement modern data solutions that enable data-driven decision-making across the organization.
As a Principal Data Engineer you will:
  • Collaborate with Business, and IT functional experts to gather requirements or issues, perform gap analysis and recommend/implement process and/or technology improvements to optimize data solutions.
  • Design data solutions on Databricks including Delta Lake, Data Warehouse, Data Mart and others to support the data science and analytical needs of the organization.
  • Design and implement scalable and reliable data pipelines to ingest, process, and store diverse data at scale, using technologies such as Databricks, Apache Spark, Kafka, Flink, AWS Glue or other AWS services.
  • Work within cloud environments like AWS to leverage services including but not limited to EC2, RDS, S3, Athena, Glue, Lambda, EMR, Kinesis, and SQS for efficient data handling and processing.
  • Develop and optimize data models and storage solutions (SQL, NoSQL, Key-Value DBs, Data Lakes) to support operational and analytical applications, ensuring data quality and accessibility.
  • Utilize ETL tools and frameworks (e.g., Apache Airflow, Talend) to automate data workflows, ensuring efficient data integration and timely availability of data for analytics.
  • Implement pipelines with a high degree of automation for data workflows and deployment pipelines using tools like Apache Airflow, Terraform, and CI/CD frameworks.
  • Collaborate closely with business analysts, data scientists, machine learning engineers, and optimization engineers, providing the data infrastructure and tools needed for complex analytical models, leveraging Python, scala or R for data processing scripts.
  • Ensure compliance with data governance, compliance and security policies, implementing best practices in data encryption, masking, and access controls within a cloud environment.
  • Establish best practices for code documentation, testing, and version control, ensuring consistent and reproductive data engineering practices across the team.
  • Monitor and troubleshoot data pipelines and databases for performance issues, applying tuning techniques to optimize data access and throughput.
  • Ensure efficient usage of AWS and Databricks resources to minimize costs while maintaining high performance and scalability.
  • Cross functional work understanding data landscape, developing proof of concepts, and demonstrating to stakeholders.
  • Leads one or more data projects and support with internal and external resources. Coach and mentor junior data engineers.
  • Stay abreast of emerging technologies and methodologies in data engineering, advocating for and implementing improvements to the data ecosystem.

What We Need From You
  • Bachelor's Degree Computer Science, Data Science, MIS, Engineering, Mathematics, Statistics or other quantitative discipline with 5-8 years of hands-on experience in data engineering, with a proven track record in designing and operating large-scale data pipelines and architectures Req
  • Proven experience designing scalable, fault-tolerant data architecture and pipelines on Databricks delta lake, lakehouse, unity catalog, streaming, AWS, ETL/ELT development and data modeling, with a focus on performance optimization and maintainability Required
  • Deep experience of platforms and services like Databricks, and AWS native data offerings Required
  • Solid experience with big data technologies (Databricks, Apache Spark, Kafka) and AWS cloud services related to data processing and storage Required
  • Strong hands-on experience with ETL/ELT pipeline development using AWS tools and Databricks Workflows Required
  • Strong experience in AWS cloud services, with hands-on experience in integrating cloud storage and compute services with Databricks Required
  • Proficient in SQL and programming languages relevant to data engineering (Python, Java, Scala Required
  • Hands on RDBMS and data warehousing experience (data modeling, analysis, programming, stored procedures) Required
  • Good understanding of system architecture and design patterns to design and develop applications using these principles Required
  • Proficiency with version control systems like Git and experience with CI/CD pipelines for automating data engineering deployments Required
  • Familiarity with machine learning model deployment and management practices is a plus Preferred
  • Experience with SAP, BW, HANA, Tableau, or Power BI is a plus Preferred
  • Experience with auto, manufacturing, or supply chain industries is a plus Preferred
  • Project life-cycle leadership and support for requirement workshop, design, development, test cycles and production cutover, post-go live support, and environment strategy. Strong knowledge of agile methodologies Required
  • Strong communication skills, capable of collaborating effectively across technical and non-technical teams in a fast-paced environment. Required
  • AWS Certified Solution Architect Preferred
  • Databricks Certified Associate Developer for Apache Spark Preferred or other relevant certifications. Preferred
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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